Stats

Player Stats

Updated at: Jan 3, 2022, 4:37 PM (UTC)

Filter stats by Games played

0
0
5
5
Player
Team
GP
PTS
PPG
P-VAL
P-VALPG
S-EFF
S-VAL
S-VALPG
HGL
HGLPG
D5
T5
1PTM
1PTA
1PT%
2PTM
2PTA
2PT%
FTM
FTA
FT%
KAS
DRV
DNK
BS
BZR
REB
REBPG
OREB
DREB
TO
TOPG
1Chris ReavesWukesong44210.537.49.40.5723.96.0235.832193554%113135%1813%214070215.351661.5
2Jasmin HercegovacLjubljana5397.836.57.30.6826.55.3122.421111573%123732%4580%102000265.21214132.6
3Sammy Junior Monroe IIDoha5326.429.75.90.6019.23.8122.410142654%61932%6875%25410234.6111240.8
4Tanguy NgomboDoha5326.437.97.60.7323.44.761.230142264%61443%6875%21030234.6101320.4
5Malcolm BattlesBeijing3289.324.58.20.5716.05.341.330163053%2729%81267%01120217.041741.3
6Dejan MajstorovicNovi Sad Al Wahda4276.825.26.30.7319.74.930.81071354%92045%2450%21000112.87420.5
7Dusan BulutNovi Sad Al Wahda4266.524.06.00.5013.03.3123.010182864%32015%2450%84000184.581061.5
8Dominic Davon JamesDoha5255.025.55.10.5614.02.8132.610152268%41724%2633%37111173.441320.4
9Ales KuncLjubljana5255.023.04.60.7418.53.720.410111861%3743%8989%20000132.631040.8
10Blaz CresnarLjubljana5234.631.86.40.6214.32.9163.22091753%51242%4850%43351275.4101761.2
11泰傑 Tai-Chieh 王 WangNew Taipei3217.09.53.20.5010.53.562.00082236%61735%1333%0500141.32241.3
12Shao Hua GuoZheng Zhou3206.718.26.10.6112.24.10020162662%000%4757%00000186.071131.0
13Wu WenZheng Zhou3206.719.96.60.5711.43.841.310101759%51828%000%40000134.34920.7
14Tomo ČajičLjubljana5193.818.73.70.5911.22.220.4005863%62129%2367%10010153.06920.4
15Yaseen MusaDoha5183.621.54.30.6411.52.320.41081650%4944%2367%20000265.291751.0
16Marko SavićNovi Sad Al Wahda4184.519.44.80.6912.43.171.800131681%2922%11100%52000143.541051.3
17Tomoya OchiaiTokyo3186.019.06.30.7213.04.351.71081362%4944%2367%22010144.731141.3
18Jeevanantham PandiBangalore2168.019.79.80.7011.25.642.020101953%22100%22100%00130136.531010.5
19Xu LiuBeijing3155.015.05.00.609.03.051.70051145%51338%010%2300082.71700
20Maniwa JoseiTokyo3144.712.04.00.649.03.020.70061060%41233%000%1001062.01520.7
21Arshpreet BhullarChandigarh2147.011.15.60.476.63.331.5103838%52025%1250%03000115.53810.5
22Fandi andika RamadhaniJakarta2136.511.35.60.688.84.410.5105683%41233%010%0100094.55421.0
23Cong WangWukesong4133.310.62.60.628.12.051.30061155%3933%11100%3200051.34130.8
24郭 Xiao 晓 GuoJinan2136.511.96.00.729.44.752.5006967%3560%1425%1301073.52531.5
25Chihiro IkedaTokyo3134.35.21.70.486.22.182.700111958%040%2450%0800041.31331.0
26Shaojie WangWukesong4112.815.23.80.616.71.782.000101377%000%1520%01430174.371030.8
27Chen LvWukesong4102.511.12.80.565.61.4000081553%010%22100%00000153.831220.5
28Zhanyu WangZheng Zhou393.013.54.50.393.51.282.70021118%31030%1250%71000206.791172.3
29群 Liu 刘 QunJinan284.05.12.60.574.62.300006967%020%2367%0000052.51421.0
30Marko ZderoNovi Sad Al Wahda471.815.03.80.503.50.951.3005771%1714%000%40010133.331000
31Kushmeet AtwalChandigarh273.54.12.00.443.11.631.5005956%1714%000%0300042.01310.5
32Rajesh UpprBangalore273.54.02.00.503.51.821.00031030%2450%000%2000052.54142.0
33Valentino WuwunganJakarta263.07.43.70.402.41.221.0004944%040%22100%02000147.041021.0
34Siddhant ShindeBangalore263.0-1.4-0.70.432.61.342.0002729%2729%000%2200042.01384.0
35Ming-Feng ZHANGNew Taipei351.72.60.90.422.10.720.7004757%040%11100%0200072.34331.0
36Fang Jih HsuanNew Taipei351.73.61.20.422.10.720.7003838%1425%000%0101072.31631.0
37Huan-Ya YuNew Taipei351.75.31.80.562.80.931.0001333%2633%000%2100031.01210.3
38子键 Zijian 麦 MaiJinan252.54.22.10.452.21.100003743%1250%020%0000084.02621.0
39Ken TanakaTokyo351.75.61.90.623.11.031.0001250%2633%000%2100072.31631.0
40Wijaya SaputraJakarta221.02.31.20.140.30.110.500060%1813%000%1000042.03110.5
41ChangLin GuoZheng Zhou221.01.20.60.330.70.300002540%000%010%0000052.51421.0
42王 Yu 怀宇 WanghuaiJinan221.02.01.00.501.00.500001250%000%1250%0000021.00200
43Rajveer SinghChandigarh221.03.92.00.180.40.231.5002825%030%000%1200094.56321.0
44Arshdeep DhillonChandigarh221.06.93.40.200.40.210.5002729%030%000%01000157.57810.5
45Basil PhilipBangalore221.00.80.40.400.80.410.500010%1425%000%1000042.00431.5
46Ming JinBeijing310.32.80.90.330.30.110.30011100%020%000%0100072.33410.3
47Rizky EffendiJakarta210.50.60.30.110.10.110.5001617%030%000%1000052.53231.5
48Xu ShusenBeijing300-1.0-0.300010.300020%060%000%1000062.02451.7

Legend

GP
Games played
PTS
Points scored
PPG
Points per game
P-VAL
Player value
P-VALPG
Player value per game
S-EFF
Shooting efficiency
S-VAL
Shooting value
S-VALPG
Shooting value per game
HGL
Highlights
HGLPG
Highlights per game
D5
Double-fives
T5
Triple-fives
1PTM
One point shots made
1PTA
One point shot attempts
1PT%
One point shot percentage
2PTM
Two point shot made
2PTA
Two point shot attempts
2PT%
Two point shot percentage
FTM
Free throws made
FTA
Free throw attempts
FT%
Free throw percentage
KAS
Key assists
DRV
Drives
DNK
Dunks
BS
Blocked shots
BZR
Buzzerbeaters
REB
Rebounds
REBPG
Rebounds per game
OREB
Offensive rebounds
DREB
Defensive rebounds
TO
Turnovers
TOPG
Turnovers per game

Calculations

P-VAL (Player value)
S-VAL + BS + KAS + BZR - TO + (REB/2)
S-EFF (Shooting efficiency)
PTS / number of shots attempted
S-VAL (Shooting value)
PTS * S-EFF
HGL (Highlights)
KAS + DRV + DNK + BS + BZR
D5 (Double-fives)
5 or more in 2 of these 3 categories: PTS-HGL-REB
T5 (Triple-fives)
5 or more in all 3 categories: PTS-HGL-REB

For more information, check the FIBA 3x3 Statisticians' Manual (PDF).